我有两个数据框:
df1 <- read.table(text = "
Time Score ID
-83 19 C1
-69 17 C2
-55 15 C3
-28 22 C4
0 27 C5", header=TRUE)
df2 <- read.table(text = "
Time Score ID
-83 19 C1
-55 15 C3
0 27 C5", header=TRUE)
我想用df1创建一个xyplot,按ID分组,但没有标记每个ID。然后使用df2
中的点向现有的xyplot添加点library(lattice)
xyplot(df1$Score ~ df1$Time | df1$ID, type ="b", cex = .5)
希望了解如何不标记每个ID(删除面板标题),然后将df2添加为现有情节的点
答案 0 :(得分:2)
设置strip=FALSE
以取消&#39;面板标题&#39;。然后,在确保两个data.frames中的ID
因子水平匹配之后,您可以使用latticeExtra::as.layer()
将第二个data.frame中的数据绘制到使用第一个构建的绘图上:
library(latticeExtra)
## Fiddly bit needed to make sure, e.g., that level `C3` is coded
## using the same number (here a '3') in both ID columns.
df2$ID <- factor(df2$ID, levels = levels(df1$ID))
## Plot data from both data.frames onto the same plot
xyplot(Score ~ Time | ID, data = df1, type ="b", cex = .5, strip = FALSE) +
as.layer(xyplot(Score ~ Time | ID, data = df2, type ="b",
cex = 5, drop.unused.levels = FALSE))